| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.pig.backend.hadoop.executionengine.tez.runtime; |
| |
| import java.util.Map; |
| import java.util.Map.Entry; |
| |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.hadoop.io.Writable; |
| import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.DiscreteProbabilitySampleGenerator; |
| import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner; |
| import org.apache.pig.data.DataBag; |
| import org.apache.pig.data.InternalMap; |
| import org.apache.pig.data.Tuple; |
| import org.apache.pig.impl.builtin.FindQuantiles; |
| import org.apache.pig.impl.io.PigNullableWritable; |
| import org.apache.tez.runtime.library.common.ConfigUtils; |
| |
| public class WeightedRangePartitionerTez extends WeightedRangePartitioner { |
| private static final Log LOG = LogFactory.getLog(WeightedRangePartitionerTez.class); |
| |
| private Integer estimatedNumPartitions; |
| |
| @Override |
| public int getPartition(PigNullableWritable key, Writable value, |
| int numPartitions){ |
| if (estimatedNumPartitions!=null) { |
| numPartitions = estimatedNumPartitions; |
| } |
| return super.getPartition(key, value, numPartitions); |
| } |
| |
| @Override |
| public void init() { |
| Map<String, Object> quantileMap = null; |
| if (PigProcessor.sampleMap != null) { |
| // We've collected sampleMap in PigProcessor |
| quantileMap = PigProcessor.sampleMap; |
| } else { |
| LOG.warn("Quantiles map is empty"); |
| inited = true; |
| return; |
| } |
| |
| long start = System.currentTimeMillis(); |
| try { |
| DataBag quantilesList = (DataBag) quantileMap.get(FindQuantiles.QUANTILES_LIST); |
| InternalMap weightedPartsData = (InternalMap) quantileMap.get(FindQuantiles.WEIGHTED_PARTS); |
| estimatedNumPartitions = (Integer)quantileMap.get(PigProcessor.ESTIMATED_NUM_PARALLELISM); |
| convertToArray(quantilesList); |
| for (Entry<Object, Object> ent : weightedPartsData.entrySet()) { |
| Tuple key = (Tuple) ent.getKey(); // sample item which repeats |
| float[] probVec = getProbVec((Tuple) ent.getValue()); |
| weightedParts.put(getPigNullableWritable(key), |
| new DiscreteProbabilitySampleGenerator(probVec)); |
| } |
| } catch (Exception e) { |
| throw new RuntimeException(e); |
| } |
| comparator = ConfigUtils.getIntermediateInputKeyComparator(job); |
| LOG.info("Initialized WeightedRangePartitionerTez. Time taken: " + (System.currentTimeMillis() - start)); |
| inited = true; |
| } |
| } |